Aastha Aggarwal

435 total citations
25 papers, 304 citations indexed

About

Aastha Aggarwal is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Aastha Aggarwal has authored 25 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Genetics and 5 papers in Nutrition and Dietetics. Recurrent topics in Aastha Aggarwal's work include Forensic and Genetic Research (5 papers), Obesity, Physical Activity, Diet (5 papers) and Child Nutrition and Water Access (4 papers). Aastha Aggarwal is often cited by papers focused on Forensic and Genetic Research (5 papers), Obesity, Physical Activity, Diet (5 papers) and Child Nutrition and Water Access (4 papers). Aastha Aggarwal collaborates with scholars based in India, United Kingdom and United States. Aastha Aggarwal's co-authors include Gagandeep Kaur Walia, Dorairaj Prabhakaran, Sanjay Kinra, Preetha Rajaraman, Preet K. Dhillon, Krithiga Shridhar, A Geetha, Vipin Gupta, Bharati Kulkarni and George Davey Smith and has published in prestigious journals such as PLoS ONE, PLoS Medicine and Environment International.

In The Last Decade

Aastha Aggarwal

24 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aastha Aggarwal India 10 64 59 53 34 31 25 304
A. M. Siega-Riz United States 8 108 1.7× 25 0.4× 16 0.3× 33 1.0× 11 0.4× 13 342
Areti Papadopoulou United Kingdom 5 73 1.1× 40 0.7× 46 0.9× 9 0.3× 5 0.2× 7 241
Mary Economou Cyprus 11 85 1.3× 57 1.0× 33 0.6× 45 1.3× 3 0.1× 17 383
Thomas L. Vaughan United States 11 97 1.5× 81 1.4× 17 0.3× 39 1.1× 17 0.5× 12 603
Xinhai Yin China 12 19 0.3× 229 3.9× 13 0.2× 27 0.8× 103 3.3× 26 476
Chunxiao Xu China 11 86 1.3× 176 3.0× 61 1.2× 21 0.6× 4 0.1× 34 462
Xiaodong Jia China 14 118 1.8× 51 0.9× 19 0.4× 60 1.8× 3 0.1× 33 394
VamanV Khadilkar India 8 75 1.2× 39 0.7× 48 0.9× 44 1.3× 4 0.1× 9 276
Htay Lwin Japan 10 72 1.1× 89 1.5× 41 0.8× 23 0.7× 2 0.1× 20 314

Countries citing papers authored by Aastha Aggarwal

Since Specialization
Citations

This map shows the geographic impact of Aastha Aggarwal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aastha Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aastha Aggarwal more than expected).

Fields of papers citing papers by Aastha Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aastha Aggarwal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aastha Aggarwal. The network helps show where Aastha Aggarwal may publish in the future.

Co-authorship network of co-authors of Aastha Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Aastha Aggarwal. A scholar is included among the top collaborators of Aastha Aggarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aastha Aggarwal. Aastha Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Birk, Nick, Bharati Kulkarni, Santhi Bhogadi, et al.. (2025). Machine learning-based equations for improved body composition estimation in Indian adults. PLOS Digital Health. 4(6). e0000671–e0000671. 1 indexed citations
2.
Aggarwal, Aastha, et al.. (2024). Depression Diagnosis, Treatment, and Remission Among Adults in India. JAMA Psychiatry. 81(12). 1265–1265. 1 indexed citations
3.
Kondal, Dimple, Helen Huang, Kavita Singh, et al.. (2024). Individual-level determinants of breast and cervical cancer screening and early testing in two regionally representative urban Indian populations. Preventive Medicine Reports. 46. 102883–102883.
4.
Aggarwal, Aastha, Rama Ranganathan, Preet K. Dhillon, et al.. (2023). Linking population-based cohorts with cancer registries in LMIC: a case study and lessons learnt in India. BMJ Open. 13(3). e068644–e068644. 1 indexed citations
5.
Krishnamurthy, Arvind, Vijayalakshmi Ramshankar, Gagandeep Kaur Walia, et al.. (2022). Time intervals and patient-level factors in oral cancer diagnostic pathways: An application of the WHO framework in India. Cancer Epidemiology. 81. 102283–102283. 1 indexed citations
6.
Shridhar, Krithiga, Aastha Aggarwal, Ishita Rawal, et al.. (2021). Feasibility of investigating the association between bacterial pathogens and oral leukoplakia in low and middle income countries: A population-based pilot study in India. PLoS ONE. 16(4). e0251017–e0251017. 3 indexed citations
7.
Kinra, Sanjay, John Gregson, Poornima Prabhakaran, et al.. (2020). Effect of supplemental nutrition in pregnancy on offspring’s risk of cardiovascular disease in young adulthood: Long-term follow-up of a cluster trial from India. PLoS Medicine. 17(7). e1003183–e1003183. 7 indexed citations
8.
Li, Yingjun, Poppy Alice Carson Mallinson, Nandita Bhan, et al.. (2019). Neighborhood physical food environment and cardiovascular risk factors in India: Cross-sectional evidence from APCAPS. Environment International. 132. 105108–105108. 23 indexed citations
9.
10.
Shridhar, Krithiga, Aastha Aggarwal, Gagandeep Kaur Walia, et al.. (2016). Single nucleotide polymorphisms as markers of genetic susceptibility for oral potentially malignant disorders risk: Review of evidence to date. Oral Oncology. 61. 146–151. 25 indexed citations
11.
Matsuzaki, Mika, Hannah Kuper, Bharati Kulkarni, et al.. (2015). Adolescent undernutrition and early adulthood bone mass in an urbanizing rural community in India. Archives of Osteoporosis. 10(1). 232–232. 7 indexed citations
12.
Aggarwal, Aastha, et al.. (2014). Y Chromosome Haplogroup Distribution in Indo-European Speaking Tribes of Gujarat, Western India. PLoS ONE. 9(3). e90414–e90414. 6 indexed citations
13.
Walia, Gagandeep Kaur, Vipin Gupta, Aastha Aggarwal, et al.. (2014). Association of Common Genetic Variants with Lipid Traits in the Indian Population. PLoS ONE. 9(7). e101688–e101688. 29 indexed citations
14.
Kinra, Sanjay, Hannah Kuper, Poornima Prabhakaran, et al.. (2013). Cohort Profile: Andhra Pradesh Children and Parents Study (APCAPS). International Journal of Epidemiology. 43(5). 1417–1424. 62 indexed citations
15.
Aggarwal, Aastha, et al.. (2013). Distribution of beta-globin haplotypes among the tribes of southern Gujarat, India. Gene. 521(2). 287–292. 3 indexed citations
16.
17.
Aggarwal, Aastha, et al.. (2011). Haptoglobin polymorphism among the tribal groups of southern Gujarat. Indian journal of human genetics. 17(3). 169–169. 2 indexed citations
18.
Kshatriya, Gautam K., et al.. (2010). Genomic and Linguistic Affinities: A Study of Allelic and Haplotype Diversity at DRD2 Locus Among the Tribes of Gujarat, Western India. Genetic Testing and Molecular Biomarkers. 14(2). 215–223. 7 indexed citations
19.
Misra, Ranjita, et al.. (2003). The F158V polymorphism in Fc gamma RIIIA shows disparate associations with rheumatoid arthritis in two genetically distinct populations (vol 61, pg 1021, 2002). Annals of the Rheumatic Diseases. 62. 96–96. 1 indexed citations
20.
Misra, Ramnath, et al.. (2002). The F158V polymorphism in FcγRIIIA shows disparate associations with rheumatoid arthritis in two genetically distinct populations. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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